United StatesHealthcare and life sciences2025 – ongoingBaptist Health South Florida
AI-supported fall-risk assessment and prevention
Baptist Health South Florida reported greater than 30% fewer fall events with AI-supported prevention
Problem
Nurses needed to prevent patient falls while managing the workload associated with risk assessment. Bedside staff identified a clinical need for additional support.
Approach
Baptist's nursing and technology teams developed an in-house AI approach to fall-risk automation. The organization reported that it had integrated the approach into clinical practice. Nursing and applied machine-learning leaders presented the work together.
Results
Takeaway
The reported fall reduction accompanied a collaborative clinical program. The public account did not specify the comparison period or separate AI's effect from other changes.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
A presentation description attributes greater than 30% fewer fall events to Baptist's collaborative approach. It identifies in-house AI and integration into clinical practice but gives no evaluation design.
Full details are in the original sources.